Data science courses

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

In this course you'll learn how to leverage statistical techniques for working with categorical data.

Learn to easily summarize and manipulate lists using the purrr package.

Explore HR data analysis in Tableau with this case study.

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Learn how to tune your model's hyperparameters to get the best predictive results.

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.

In this course you'll learn how to use data science for several common marketing tasks.

Learn to analyze, plot, and model multivariate data.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

Learn to process sensitive information with privacy-preserving techniques.

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

In this course you'll learn how to apply machine learning in the HR domain.

Learn to create animated graphics and linked views entirely in R with plotly.

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Learn to solve real-world optimization problems using Python's SciPy and PuLP, covering everything from basic to constrained and complex optimization.

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

Discover how the Pinecone vector database is revolutionizing AI application development!

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.